TY - GEN
T1 - Exploring Resource Distribution Networks in Virtual Environments
AU - Parque, Victor
AU - Miyashita, Tomoyuki
N1 - Funding Information:
This research was supported by JSPS KAKENHI Grant-Number 20K11998.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Finding optimal resource distribution networks implies the iterative sampling of network topologies that avoid overlapping paths and crossings with obstacles. This paper presents an approach to aid the search for minimal networks by visualizing the deployment of networks in virtual environments through a VR headset, enabling the possibility of natural and intuitive navigation (translation and rotation) to visualize the topology of the optimal resource distribution in a virtual environment. Our proposed approach has the potential to enable the interactive design of distribution networks in virtual domains. We present several examples showing the feasibility of our system.
AB - Finding optimal resource distribution networks implies the iterative sampling of network topologies that avoid overlapping paths and crossings with obstacles. This paper presents an approach to aid the search for minimal networks by visualizing the deployment of networks in virtual environments through a VR headset, enabling the possibility of natural and intuitive navigation (translation and rotation) to visualize the topology of the optimal resource distribution in a virtual environment. Our proposed approach has the potential to enable the interactive design of distribution networks in virtual domains. We present several examples showing the feasibility of our system.
KW - Blender
KW - Edge Bundling
KW - Interactive Evolutionary Computing
KW - Minimal Networks
KW - Network Optimization
KW - Resource Distribution
KW - Steiner Trees with Obstacles
KW - Virtual Reality
KW - Visualization
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U2 - 10.1109/AIVR56993.2022.00040
DO - 10.1109/AIVR56993.2022.00040
M3 - Conference contribution
AN - SCOPUS:85147844526
T3 - Proceedings - 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022
SP - 203
EP - 206
BT - Proceedings - 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022
Y2 - 12 December 2022 through 14 December 2022
ER -